A Mechanistic Understanding of Pronoun Fidelity in LLMs
深入剖析LLM代词保真失效的机制,揭示推理、重复与偏见间的复杂关系。
arXiv:2606.16407v1 Announce Type: cross Abstract: Faithful and robust pronoun use is important for fair and coherent generations, yet large language m…
深入剖析LLM代词保真失效的机制,揭示推理、重复与偏见间的复杂关系。
arXiv:2606.16407v1 Announce Type: cross Abstract: Faithful and robust pronoun use is important for fair and coherent generations, yet large language m…
提出控制保留信息的新方法,可靠评估Decoder-only LLM的归因忠实度,为可解释性研究提供关键视角。
arXiv:2601.03089v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly evaluated with input attribution methods, yet …
谷歌AI概览(AIO)覆盖20亿用户,首篇系统测评其生成答案的质量、忠实度及对出版商的影响。
arXiv:2605.14021v1 Announce Type: cross Abstract: Google AI Overviews (AIOs) are arguably the most widely encountered deployment of generative AI, rea…
106本小说16种语言,130k段落揭示大模型文学翻译流畅性与忠实度间的微妙平衡
arXiv:2605.15282v1 Announce Type: new Abstract: Literary translation requires balancing target-language fluency with faithfulness to the source. Recen…